---
res:
bibo_abstract:
- In this paper, we present a search solution that makes local news information
easily accessible. In the era of fake news, we provide an approach for accessing
news information through opinion mining. This enables users to view news on the
same topics from different web sources. By applying sentiment analysis on social
media posts, users can better understand how issues are captured and see people’s
reactions. Therefore, we provide a local search service that first localizes news
articles, then visualizes their occurrence according to the frequency of mentioned
topics on a heatmap and even shows the sentiment score for each text. @eng
bibo_authorlist:
- foaf_Person:
foaf_givenName: Joschka
foaf_name: Kersting, Joschka
foaf_surname: Kersting
foaf_workInfoHomepage: http://www.librecat.org/personId=58701
- foaf_Person:
foaf_givenName: Michaela
foaf_name: Geierhos, Michaela
foaf_surname: Geierhos
foaf_workInfoHomepage: http://www.librecat.org/personId=42496
orcid: 0000-0002-8180-5606
bibo_doi: 10.1007/978-3-319-67642-5
bibo_volume: 756
dct_date: 2017^xs_gYear
dct_isPartOf:
- http://id.crossref.org/issn/978-3-319-67641-8
dct_language: eng
dct_publisher: Springer@
dct_title: 'Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated
Approach@'
...